Our client, a global consulting firm, is looking for a Data Analytics Manager, to oversee and drive the growth of the data analytics team. You will be managing data projects, and transforming raw data into actionable insights, enabling informed decision-making and driving business growth. You will work closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to drive the successful implementation of data-driven solutions that enhance our business operations and customer experiences.

Responsibilities:

• Lead technology workstreams within projects, managing client expectations and identifying opportunities for additional engagement
• Guiding teams in strategic planning and execution, facilitating project success and maintaining exemplary standards
• Identify and analyse structured and unstructured data across business streams – both internally generated and externally sourced (e.g. market data).
• Work closely with other members of the Data Team to ensure the data is efficiently ingested and correctly modelled to deliver insights to the business and Technology.
• Ensure data assets are properly defined and maintained within a central data catalogue.
• Take ownership of data issues through to resolution, working with IT and other internal stakeholders.
• Perform and automate data validation to improve data quality and integrity.
• Develop and maintain procedures, workflows and other documentation relating to data management.
• Keep up to date with key industry and technology developments as they relate to data management best practice in the financial services industry.
• Work with the Data Team, to translate business requirements into business intelligence visualisations / dashboards that can be easily understood and used.
• Locate and define new data-related process improvement opportunities.

Skills and Experience:

• Bachelor’s degree in data science, Statistics, Computer Science, Mathematics,
• Business Analytics, or a related field. Master’s degree or advanced certifications are a plus.
• More than 5 years of experience in data analytics
• Data modelling, cleansing and enrichment, with experience in conceptual, logical, and physical data modelling.
• Familiarity with ETL/ELT tools and experience navigating data pipelines.
• Experience using scripting languages (e.g. Python, PowerShell etc.) to extract insights from file-based storage.
• Data visualization tools: Tableau, Power BI, Qlik, Raw, chart.js, etc
• Cloud Data Technologies (Mainly Azure - SQL Database, Data Lake, HD Insight, Data Factory etc.)